Computation of individual dynamic predictions from a joint latent class model
Marginal predictions of the longitudinal outcome(s) in their
natural scale from lcmm, Jointlcmm or multlcmm objects
Confidence intervals for the estimated link functions from lcmm, Jointlcmm and multlcmm
Variance-covariance of the estimates
Simulated dataset for lcmm and Jointlcmm functions
For internal use only ...
Multivariate Wald Test
Summary of a hlme, lcmm, Jointlcmm, multlcmm, epoce or Diffepoce objects
Computation of the difference of expected prognostic cross-entropy (EPOCE) estimators and its 95% tracking interval between two joint latent class models estimated with Jointlcmm
Predicted cumulative incidence of event according to a profile of covariates
Percentage of variance explained by the (latent class) linear mixed model regression
Predicted values of a hlme, lcmm, multlcmm or Jointlcmm object in the natural scale of the longitudinal outcome(s) for a specified profile of covariates.
Estimation of joint latent class models for longitudinal and time-to-event data
Estimates, standard errors and Wald test for the parameters of the variance-covariance matrix of the random effects.
Plot of individual dynamic predictions
Estimation of mixed-effect models and latent class mixed-effect models for different types of outcomes (continuous Gaussian, continuous non-Gaussian or ordinal)
Plot of predicted cumulative incidences according to a profile of covariates
Estimation of mutlivariate mixed-effect models and multivariate latent class mixed-effect models for multivariate longitudinal outcomes of possibly multiple types (continuous Gaussian, continuous non-Gaussian - curvilinear) that measure the same underlying latent process.
Simulated dataset for hlme function
Longitudinal data on cognitive and physical aging in the elderly
Estimates
Posterior classification stemmed from a hlme, lcmm, multlcmm or Jointlcmm estimation
Estimation of extended mixed models using latent classes and latent processes.
Computation of estimators of the Expected Prognostic Observed Cross-Entropy (EPOCE) for evaluating predictive accuracy of joint latent class models estimated using Jointlcmm
Estimation of latent class linear mixed models
Class-specific marginal predictions in the latent process scale for
lcmm, Jointlcmm and multlcmm objects
Brief summary of a hlme, lcmm, Jointlcmm,multlcmm, epoce or Diffepoce objects
Plot of predicted trajectories and link functions
Plots
Plot of a fitted model
Summary of models